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Implementation of Smart Diet Assistance Application

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Proceedings of 6th International Conference on Recent Trends in Computing

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 177))

Abstract

The number of health and fitness platforms has increased drastically over the years, because of the people’s desire to live more healthy lifestyles. Keeping this need in mind, we have proposed a mobile application that would be seen as a pocket assistant to track meals, get suggestions and get a check on one’s personal goals and health. The application aims provide user friendly solution in order to give the best guidance and advice on nutrition plans and tracking them. Along with that meal recommendation feature is provided so that user can get the healthy food suggestion based on his eating pattern. In some cases, user may want to explore the nearby hotels where he can get suggested dishes, to cater this requirement we have incorporated the location-based hotel recommendation feature. The main objective of our study is to provide a diet monitoring application which is not only easy to use but also capable enough to track the nutrition record and provide solution accordingly.

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References

  1. https://play.google.com/store/apps/details?id=com.myfitnesspal.android&hl=en_IN. Retrieved 19 April 2019

  2. https://play.google.com/store/apps/details?id=com.oajoo.healthyfood. Retrieved 19 April 2019

  3. https://play.google.com/store/apps/details?id=com.healthifyme.basic. Retrieved 19 April 2019

  4. https://play.google.com/store/apps/details?id=co.thefabulous.app. Retrieved 19 April 2019

  5. https://play.google.com/store/apps/details?id=com.dietcoacher.sos. Retrieved 19 April 2019

  6. https://play.google.com/store/apps/details?id=com.aportela.diets.view. Retrieved 19 April 2019

  7. Mendi E, Ozyavuz O, Pekesen E, Bayrak (2017) Health monitoring web platform for real-time expert-user interaction. In: 8th International conference on information, intelligence, systems & applications (IISA), Larnaca, Cyprus, 27–30 Aug 2017

    Google Scholar 

  8. Boonphan K, Soontornpipit P, Viwatwongkasam C, Sillabutra J, Sativipawee P (2018) Health monitoring application of obese children in perspective for guardian in Thailand. In: International electrical engineering congress (iEECON), Krabi, Thailand, Thailand, 7–9 March 2018

    Google Scholar 

  9. Achilleos A, Yeratziotis A, Mettouris C, Evripidou K, Hadjinikolaou P, Papadopoulos GA (2017) Health monitoring web platform for real-time expert-user interaction. In: 8th International conference on information, intelligence, systems applications (IISA 2017), August 2017

    Google Scholar 

  10. Parra MO, Favela J, Castro LA, Morales A (2018) Monitoring eating behaviors for a nutritionist E-assistant using crowdsourcing. Computer 51(3):43–51. https://doi.org/10.1109/MC.2018.1731078

    Article  Google Scholar 

  11. Myers A et al (2015) Im2Calories: towards an automated mobile vision food diary. In: 2015 IEEE international conference on computer vision (ICCV), Santiago, 2015, pp 1233–1241. https://doi.org/10.1109/iccv.2015.146

  12. Moorhead A, Bond R, Zheng H (2015) Smart food: crowdsourcing of experts in nutrition and non-experts in identifying calories of meals using smartphone as a potential tool contributing to obesity prevention and management. In: IEEE international conference on bioinformatics and biomedicine (BIBM), Nov 2015

    Google Scholar 

  13. Hezarjaribi N, Mazrouee S, Ghasemzadeh H (2018) Speech2Health: a mobile framework for monitoring dietary composition from spoken data. IEEE J Biomed Health Inf 22(1):252–264

    Article  Google Scholar 

  14. Nabi J, Doddamadaiah AR, Lakhotia R (2015) Smart dietary monitoring system. In: 2015 IEEE international symposium on nanoelectronic and information systems, Indore, pp 207–212. https://doi.org/10.1109/iNIS.2015.20

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Correspondence to Myron Carvalho .

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Carvalho, M., Kotian, P., George, H., Pawade, D., Dalvi, A., Siddavatam, I. (2021). Implementation of Smart Diet Assistance Application. In: Mahapatra, R.P., Panigrahi, B.K., Kaushik, B.K., Roy, S. (eds) Proceedings of 6th International Conference on Recent Trends in Computing. Lecture Notes in Networks and Systems, vol 177. Springer, Singapore. https://doi.org/10.1007/978-981-33-4501-0_30

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